Description
We are now looking for a Senior GPU Memory Architect.
NVIDIA is seeking a motivated architect to work with a team in solving complex problems while optimizing performance, area, complexity, and power on leading-edge silicon processes. This GPU memory architecture team creates new, innovative products tailored to NVIDIA's world-changing solutions for autonomous vehicles, AI, gaming, mobile systems.
Responsibilities:
- Developing architecture and micro-architecture to improve the state-of-the-art in GPU memory system and memory management optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule.
- Participating in performance simulation of features to improve memory access efficiency.
- Implementing and maintaining high-level functional and performance models.
- Analyzing benchmarks, application workloads and performance simulation results to identify areas for microarchitecture optimizations.
- Defining and performing experiments to study the machine in action, presenting experiment results to the larger group and proposing mechanisms for improvement.
- Creating architectural specifications and customer-facing documents. Working with partners in the industry to generate specifications which take into account software interfaces to the GPU.
- Debugging performance and functional issues with high-level models, RTL simulation, and silicon.
Requirements:
- Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field. A PhD with a focus in computer architecture is a plus.
- 6+ years of meaningful work experience in GPU or CPU Architecture and development specifically in the area of memory caching and interconnects.
- Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product oriented, distributed team. Your history of successfully mentoring junior engineers and interns is a huge plus.
Preferred Qualifications:
- Experience with hardware memory management unit, prefetching, or memory subsystems.
- Practical experience with multi-core systems and memory coherency.
If you desire to be a part of a team of talented engineers developing ground-breaking GPU architectures from specification through implementation to extend the state of the art in GPU performance and functionality, we encourage you to apply. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers.